Computing for Space Science – Current practice and future challenges Peter Allan Head, Space Data...

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Computing for Space Science – Current practice and future challenges Peter Allan Head, Space Data Division

Transcript of Computing for Space Science – Current practice and future challenges Peter Allan Head, Space Data...

Page 1: Computing for Space Science – Current practice and future challenges Peter Allan Head, Space Data Division.

Computing for Space Science – Current practice and future challenges

Peter Allan

Head, Space Data Division

Page 2: Computing for Space Science – Current practice and future challenges Peter Allan Head, Space Data Division.

Overview

• Brief overview of work of SSTD

• Software, data, archives

• Systems in space

• Challenges for the future

Page 3: Computing for Space Science – Current practice and future challenges Peter Allan Head, Space Data Division.

Work of SSTD

• Astronomy and Earth Observation• Design studies• Design, build and test instruments• Launch instruments (e.g GERB on Wednesday)• Science Operations• Communicate with spacecraft• Develop data processing systems• Process, archive and disseminate data• Long term data curation• Telescope pointing

Page 4: Computing for Space Science – Current practice and future challenges Peter Allan Head, Space Data Division.

GERB

Internal black-body

Front End Electronics

Scan Mirror

Telescope

Calibration Monitor

Quartz Filter

Earth View

Fold mirror and detector

18g

Page 5: Computing for Space Science – Current practice and future challenges Peter Allan Head, Space Data Division.

Launches

Page 6: Computing for Space Science – Current practice and future challenges Peter Allan Head, Space Data Division.

RAL Ground Station

• RAL antennae 12m plus 2.4m• Chilbolton 25m• Jodrell Bank 76m• NASA DSN

– several hundred 10m-class antennae ?

Page 7: Computing for Space Science – Current practice and future challenges Peter Allan Head, Space Data Division.

Ground Stations

• Equipment controlled by standard PC

• Standard protocols are the key– Developed by CCSDS

• Like IP, but tuned for use in space– Must handle long round trip

times (many mins to hours)– Must handle disjoint

connections– Power is always at a premium

Page 8: Computing for Space Science – Current practice and future challenges Peter Allan Head, Space Data Division.

Science Operations

Operations on Cluster

Double Star

Mars Express

Page 9: Computing for Space Science – Current practice and future challenges Peter Allan Head, Space Data Division.

General Computing

• Windows and Linux on desktop– A few Sun and HP workstations

• Linux, Solaris and Tru64 on science servers

• Windows servers for office system and technical tools (e.g. CAD)

Page 10: Computing for Space Science – Current practice and future challenges Peter Allan Head, Space Data Division.

Data Centres and Archives

• British Atmospheric Data Centre

• NERC Earth Observation Data Centre

• Cluster/Doublestar

• UK Solar System Data Centre– Solar data– Data on Ionosphere– Space plasma data

Page 11: Computing for Space Science – Current practice and future challenges Peter Allan Head, Space Data Division.

Software Engineering

• ISO 9001• Apply the “appropriate level” of rigour• Use appropriate methods

– Iterative development– Science code industrial strength app– Develop formal requirements

• Workshops on improving processes– Use of standard tools?– Departmental CVS repository?

Page 12: Computing for Space Science – Current practice and future challenges Peter Allan Head, Space Data Division.

Operating Systems for Space

• Operating systems for space– H/W is previous generation– No disk drives– Tapes replaced with solid state memory– Still use assembler for some applications– Starting to use unix-like systems– Web server in space

Page 13: Computing for Space Science – Current practice and future challenges Peter Allan Head, Space Data Division.

Data Analysis and Visualisation

• Languages– Fortran, C, C+

+, Java, Perl, Python

• IDL– ENVI

Page 14: Computing for Space Science – Current practice and future challenges Peter Allan Head, Space Data Division.

Data Processing and Analysis

• Starlink

• GGSPS

• AstroGrid

• NERC data grid

Page 15: Computing for Space Science – Current practice and future challenges Peter Allan Head, Space Data Division.

Starlink

• Software for processing astronomical data for nearly all wavelengths

• Integrated data processing tools

• Library for writing new tools

• Uniform data format• Fortran (+C) Java• Lasted for 26 years

Page 16: Computing for Space Science – Current practice and future challenges Peter Allan Head, Space Data Division.

GGSPS

• GERB Ground Segment Processing System

• Multi-national data processing system– Germany RAL Belgium RAL Users

• Written in C++ (mostly not OO)

Page 17: Computing for Space Science – Current practice and future challenges Peter Allan Head, Space Data Division.

256

dete

ctor

pix

els

282 steps

Satellite rotation period = 0.6 s

282 steps for full Earth disc = 169.2 s

Between each Earth scan, internal BB measurement taken for calibration

At correct viewing geometry, calibration monitor records scattered solar light as a relative measure over time

Average three scans in each channel to improve S/N

Total repeat time = 169.2*6 ~ 15 min.

2 channels: Total Total+quartz filter (SW)

Page 18: Computing for Space Science – Current practice and future challenges Peter Allan Head, Space Data Division.
Page 19: Computing for Space Science – Current practice and future challenges Peter Allan Head, Space Data Division.

Future Challenges

• Autonomy

– Rovers on Mars

– On board analysis of satellite imagery

• Interplanetary Internet

• Integrating Grid computing into daily work

Page 20: Computing for Space Science – Current practice and future challenges Peter Allan Head, Space Data Division.

Interplanetary Internet

• Spread communications infrastructure throughout solar system

• E-mail [email protected]

• Need the right protocols– Long round trip times!

Page 21: Computing for Space Science – Current practice and future challenges Peter Allan Head, Space Data Division.

Grid Computing

• AstroGrid

• NERC Data Grid

• Both about improving access to data– Search, merge, analyse

• Hooked into international data sources– IVOA

Page 22: Computing for Space Science – Current practice and future challenges Peter Allan Head, Space Data Division.

Grid Computing

• Examples from AstroGrid

– Improving access to data

– “What if” questions answered in minutes, not months

– Enabling rapid response to sudden bursts

Page 23: Computing for Space Science – Current practice and future challenges Peter Allan Head, Space Data Division.

Optical Data Archive X-ray Data Archive

Processing Pipeline

Astronomy from the Desktop

Page 24: Computing for Space Science – Current practice and future challenges Peter Allan Head, Space Data Division.

multi- views of a Supernova Remnant

Shocks seen in the X-ray

Heavy elementsseen in the optical

Dust seen in the IR

Relativistic electrons seen in the radio

Page 25: Computing for Space Science – Current practice and future challenges Peter Allan Head, Space Data Division.

Needles in a haystack Hambly et al 2001

- faint moving object is a cool white dwarf- may be solution to the dark matter problem- but hard to find : one in a million- even harder across multiple archives

Page 26: Computing for Space Science – Current practice and future challenges Peter Allan Head, Space Data Division.

yesterday

browserfrontend

CGIrequest

html

web page

DBengine

SQL

data

Page 27: Computing for Space Science – Current practice and future challenges Peter Allan Head, Space Data Division.

today

appl

icat

ion

webservice

SOAP/XML request

SOAP/XML data

DBengine

SQL

nativedata

anyt

hin

g

standard formats

Page 28: Computing for Space Science – Current practice and future challenges Peter Allan Head, Space Data Division.

tomorrow

appl

icat

ion

webservice

job

results

anyt

hin

g

webservice

webservice

webservice

webservice

webservice

Registry Workflow

GLUE Certification VO Space

standard semantics

publish W

SDL

gri

d c

onn

ect

ed

Page 29: Computing for Space Science – Current practice and future challenges Peter Allan Head, Space Data Division.

Image from

E

SO

Image + IRIS data

Gamma Ray BurstsGamma Ray Bursts

D. Ducros, ESAReprocessing of ionospheric STP datachange coords from earth to celestial

Collate data frommultiple telescopesover months - meta data issues

Localise GRB alertin minutes – as faderapidly.

SWIFT satelliteobserves gammaray burst

Compare against SNlight curves – bump shows eveidence for a SN in the GRB(Price et al, 2002)

Interaction with observatory pipe-lines

Cross reference multi-λdata – ID pre-cursorand or environment

Large computationalphotometric redshift calcs on multi-λ > gives distance

Page 30: Computing for Space Science – Current practice and future challenges Peter Allan Head, Space Data Division.

Questions ?

Page 31: Computing for Space Science – Current practice and future challenges Peter Allan Head, Space Data Division.

yesterday

browserfrontend

CGIrequest

html

web page

DBengine

SQL

data

Page 32: Computing for Space Science – Current practice and future challenges Peter Allan Head, Space Data Division.

today

appl

icat

ion

webservice

SOAP/XML request

SOAP/XML data

DBengine

SQL

nativedata

anyt

hin

g

standard formats

Page 33: Computing for Space Science – Current practice and future challenges Peter Allan Head, Space Data Division.

tomorrow

appl

icat

ion

webservice

job

results

anyt

hin

g

webservice

webservice

webservice

webservice

webservice

Registry Workflow

GLUE Certification VO Space

standard semantics

publish W

SDL

gri

d c

onn

ect

ed